Listar por autor "Chatziioannou, A."
Mostrando ítems 1-20 de 21
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Advanced block detection and quantification of fibrotic areas in microscopy images of obstructive nephropathy
Goudas, T.; Maglogiannis, I.; Chatziioannou, A. (2012)Obstructive nephropathy is not a rare disease and experts need a tool, which will provide them fast and accurate reproducible results for disease assessment. In this work we deal with the analysis of biopsy images for the ... -
Advanced characterization of microscopic Kidney biopsies utilizing image analysis techniques
Goudas, T.; Doukas, C.; Chatziioannou, A.; Maglogiannis, I. (2012)Correct annotation and identification of salient regions in Kidney biopsy images can provide an estimation of pathogenesis in obstructive nephropathy. This paper presents a tool for the automatic or manual segmentation of ... -
Analysis of pediatric Obstructive Nephropathy using protein antibody arrays and computational techniques
Valavanis, I.; Caubet, C.; Maglogiannis, I.; Klein, J.; Schanstra, J.; Chatziioannou, A. (2010)Obstructive Nephropathy (ON) is a renal disease quite frequent in newborns and children. Although it is caused by the improper flow of urine, the nephron destruction can be magnified by various molecular processes. In the ... -
Building in-silico pathway SBML models from heterogeneous sources
Kanaris, I.; Moutselos, K.; Chatziioannou, A.; Maglogiannis, I.; Kolisis, F. N. (2008)The recent revolutionary developments concerning the high throughput (-omics) measuring techniques in life sciences is expediting the way for the development of in silico models envisioning the Systems biology perspective ... -
A Collaborative Biomedical Image-Mining Framework: Application on the Image Analysis of Microscopic Kidney Biopsies
Goudas, T.; Doukas, C.; Chatziioannou, A.; Maglogiannis, I. (2013)The analysis and characterization of biomedical image data is a complex procedure involving several processing phases, such as data acquisition, preprocessing, segmentation, feature extraction, and classification. The ... -
Delineation and interpretation of gene networks towards their effect in cellular physiology- a reverse engineering approach for the identification of critical molecular players, through the use of ontologies
Moutselos, K.; Maglogiannis, I.; Chatziioannou, A. (2010)Exploiting ontologies, provides clues regarding the involvement of certain molecular processes in the cellular phenotypic manifestation. However, identifying individual molecular actors (genes, proteins, etc.) for targeted ... -
Gene prioritization for inference of robust composite diagnostic signatures in the case of melanoma
Valavanis, I.; Moutselos, K.; Maglogiannis, I.; Chatziioannou, A. (2013)An integrated dataset originating from multi-modal datasets can be used to target underlying causal biological actions that through a systems level process trigger the development of a disease. In this study, we use an ... -
GOrevenge: A Novel Generic Reverse Engineering Method for the Identification of Critical Molecular Players, Through the Use of Ontologies
Moutselos, K.; Maglogiannis, I.; Chatziioannou, A. (2011)The ever-increasing use of ontologies in modern biological analysis and interpretation facilitates the understanding of the cellular procedures, their hierarchical organization, and their potential interactions at a system's ... -
GRISSOM web based grid portal: Exploiting the power of grid infrastructure for the interpretation and storage of DNA microarray experiments
Chatziioannou, A.; Kanaris, I.; Maglogiannis, I.; Doukas, C.; Moulos, P.; Pilalis, E.; Kolisis, F. (2009)DNA Microarrays have dramatically reshaped modern biological research by deriving profiles of genome-wide expression of living organisms, and producing an unprecedented wealth of quantitative data. Given this characteristic, ... -
HECTOR: Enabling Microarray Experiments over the Hellenic Grid Infrastructure
Kanaris, I.; Mylonakis, V.; Chatziioannou, A.; Maglogiannis, I.; Soldatos, J. (2009)Biologists, medical experts, biochemical engineers and researchers working on DNA microarray experiments are increasingly turning on Grid computing with the scope of leveraging the Grid's computing power, immense storage ... -
Heterogeneous data fusion and selection in high-volume molecular and imaging datasets
Moutselos, K.; Maglogiannis, I.; Chatziioannou, A. (2012)In this work, two disparate datasets, concerning the study of the same physiological type of cutaneous melanoma but derived from different donors, one of image (dermatoscopy) and the other of molecular (trascriptomic ... -
Identification of additional Escherichia coli AtoC binding target elements gives new insight to bacterial regulatory networks: molecular modeling of AtoC-DNA binding domain amino acids
Grigoroudis, A. I.; Panagiotidis, C. A.; Pilalis, E.; Chatziioannou, A.; Kolisis, F.; Georgios, P.; Kyriakidis, D. A. (2009) -
Integration of High-Volume Molecular and Imaging Data for Composite Biomarker Discovery in the Study of Melanoma
Moutselos, K.; Maglogiannis, I.; Chatziioannou, A. (2014)In this work the effects of simple imputations are studied, regarding the integration of multimodal data originating from different patients. Two separate datasets of cutaneous melanoma are used, an image analysis (dermoscopy) ... -
Intelligent identification of biomarkers for the study of obstructive nephropathy
Valavanis, I.; Maglogiannis, I.; Chatziioannou, A. (2013)Obstructive Nephropathy (ON) is a renal disease, which pathological profile is the result of various, tightly coupled and co-regulated, molecular processes, pervading various layers of molecular dissection. In this context, ... -
Intelligent planning of biomedical image mining workflows
Doukas, C.; Chatziioannou, A.; Maglogiannis, I. (2010)The analysis and characterization of biomedical image data is a complex procedure involving several processing phases, like data acquisition, preprocessing, segmentation, feature extraction and classification. The proper ... -
Intelligent selection of human miRNAs and mouse mRNAs related to obstructive nephropathy
Valavanis, I.; Moulos, P.; Maglogiannis, I.; Klein, J.; Schanstra, J.; Chatziioannou, A. (2011)Obstructive Nephropathy (ON) is a renal disease and its pathology is believed to be magnified by various molecular processes. In the current study, we apply an intelligent workflow implemented in Rapidminer data mining ... -
KEGGconverter: a tool for the in-silico modelling of metabolic networks of the KEGG Pathways database
Moutselos, K.; Kanaris, I.; Chatziioannou, A.; Maglogiannis, I.; Kolisis, F. N. (2009)Background: The KEGG Pathway database is a valuable collection of metabolic pathway maps. Nevertheless, the production of simulation capable metabolic networks from KEGG Pathway data is a challenging complicated work, ... -
An open data mining framework for the analysis of medical images: Application on Obstructive Nephropathy microscopy images
Doukas, C.; Goudas, T.; Fischer, S.; Mierswa, I.; Chatziioannou, A.; Maglogiannis, I. (2010)This paper presents an open image-mining framework that provides access to tools and methods for the characterization of medical images. Several image processing and feature extraction operators have been implemented and ... -
An open web services - Based framework for data mining of biomedical image data
Doukas, C.; Maglogiannis, I.; Chatziioannou, A. (2009)Mining of biomedical image data is a complex procedure that requires several processing phases, such as data acquisition, preprocessing (e.g., image enhancement, color processing), feature extraction and classification. ... -
Unifying the integration, analysis and interpretation of multi-omic datasets: Exploration of the disease networks of Obstructive Nephropathy in children
Moulos, P.; Valavanis, I.; Klein, J.; Maglogiannis, I.; Schanstra, J.; Chatziioannou, A. (2011)The wealth of data amassed by the utilization of various high-throughput techniques, in various layers of molecular dissection, stresses the critical role of the unification of the computational methodologies applied in ...